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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 3816
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    Explanations

    words related to affirming, negating, or validating statements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to claims, assessments, and institutional critiques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pry
    -0.66
    wards
    -0.65
     continuation
    -0.62
     pity
    -0.60
     Pyr
    -0.59
     TY
    -0.59
    idth
    -0.59
    repeat
    -0.57
    joice
    -0.57
    draw
    -0.57
    POSITIVE LOGITS
     alone
    0.90
    ieri
    0.76
    é¾įå¥ij士
    0.75
    eto
    0.74
    ativity
    0.73
    ISO
    0.71
    aton
    0.67
    ãĤ¡
    0.63
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.62
     haun
    0.62
    Activations Density 0.200%

    No Known Activations